AI Multifamily Due Diligence
The Problem
“Multifamily due diligence is slow, manual, and risky”
Organizations face these key challenges:
1
High-volume document review (leases, amendments, contracts, reports) with inconsistent formats leads to missed clauses, hidden obligations, and incomplete issue tracking
2
Manual data extraction and reconciliation across rent roll, T-12, bank statements, and PMS exports creates delays and introduces errors into underwriting models
3
Compressed timelines and fragmented collaboration across acquisitions, legal, and asset management increase the chance of overlooking compliance, capex, and operational risks
Impact When Solved
Automated extraction of lease terms, expirations, concessions, and reimbursements with cross-checks against the rent roll to flag discrepanciesAnomaly detection on income/expense line items and utilities to identify misclassified costs, one-time items, and underwritten-to-actual gaps before close